Publication
RecSys 2016
Conference paper

RecSys 16 workshop on deep learning for recommender systems (DLRS)

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Abstract

We believe that Deep Learning is one of the next big things in Recommendation Systems technology. The past few years have seen the tremendous success of deep neural networks in a number of complex tasks such as computer vision, nat- ural language processing and speech recognition. Despite this, only little work has been published on Deep Learning methods for Recommender Systems. Notable recent appli- cation areas are music recommendation, news recommenda- tion, and session-based recommendation. The aim of the workshop is to encourage the application of Deep Learning techniques in Recommender Systems, to promote research in deep learning methods for Recommender Systems, and to bring together researchers from the Recommender Systems and Deep Learning communities.

Date

07 Sep 2016

Publication

RecSys 2016

Authors

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